TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 27, 1:17 AM EST
Kalshi
This set of markets focuses on predicting the total points scored by both Georgia Tech and Stanford during the third quarter of their college football game. Each market has a different threshold for the total points needed to resolve as 'Yes', allowing participants to bet on various levels of scoring intensity in that specific quarter.
All markets resolve based on the total points scored by both teams combined during the third quarter of the Georgia Tech vs Stanford college football game scheduled for September 26, 2026. Each market has a specific numerical threshold; if the combined third-quarter points exceed that threshold, the market resolves to 'Yes'. If the game is postponed but commences within 48 hours of the original start time, all markets remain active and resolve according to the official result. Should the game fail to start within the 48-hour window, all markets will resolve to a fair price, ensuring equitable treatment for all participants regardless of the threshold specified in each individual market.
Often, prediction market odds can offer a different perspective than those found at traditional sportsbooks. While sportsbooks set lines based on their own models and attempt to balance action on both sides, this market reflects the collective wisdom of traders who are incentivized to accurately forecast the outcome. Discrepancies can arise due to differing information, biases, or simply variations in modeling approaches. It's common to see prediction markets move independently of sportsbook lines, especially as new information becomes available and traders adjust their positions.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts. The price of a contract represents the probability of that outcome occurring – for example, a price of 60 means a 60% implied probability. As more traders buy contracts predicting an outcome, the price increases, and vice-versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and reflect the evolving expectations of participants regarding the Georgia Tech vs Stanford 3rd quarter.
This market resolves around Sep 27, 2026, with the outcome confirmed once the total points scored in the 3rd quarter of the Georgia Tech vs Stanford game is verifiable from credible public reporting. The final score will be sourced from official game statistics, and the market will settle based on whether the total points exceed or fall short of 12.5. The resolution process is designed to be objective and transparent, ensuring a fair and accurate outcome for all participants in this market.
Several factors could influence trading activity in this market leading up to game time. Injury reports for key players on either the Georgia Tech or Stanford teams would likely have a significant impact, as would any changes to the predicted weather conditions. News regarding coaching strategies or team morale could also move the market. Even late-breaking information, such as starting lineup changes, could cause shifts in the price of contracts as traders react to the latest developments and adjust their predictions for the Georgia Tech vs Stanford 3rd quarter.